RDQ127R57

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Senior Manager for Applied ML For Systems at Databricks, you will lead a team of machine learning engineers in applying ML and optimization algorithms to improve the efficiency and performance of Databrick’s infrastructure. From cluster management to job scheduling, query compilation and GPU resource optimization for large language models and other deep learning workloads your team will tackle some of the hardest and most impactful problems in the company, making Databricks infrastructure and products as performant and cost-efficient as possible. This is a high-visibility, high-impact role where you will shape technical direction, grow talent, and drive initiatives that help our customers run the most optimized workloads at scale.

The impact you will have

Set vision and strategy for our ML-for-Systems initiatives, aligning investments with product and infrastructure priorities.
Build and lead a high-performing team of applied ML engineers, providing technical guidance, mentorship, and career development.
Partner with engineering and product leaders across the company to identify high-leverage opportunities for AI and optimization in infrastructure.
Oversee the development and deployment of state-of-the-art AI models and optimization systems that directly improve Databricks' products, infrastructure, and services.
Guide the design of robust, scalable ML solutions, ensuring best practices in data processing, model training, serving, monitoring, and reliability for Tier 0 production environments.
Foster a culture of technical excellence, truth-seeking, and customer obsession.
Represent Databricks in the broader AI community through publications, conference talks, and open-source contributions.
Direct impact to company profitability and bottom line by driving impact worth several millions of dollars of savings.

What we look for

Proven leadership experience managing applied AI or ML engineering teams in high-velocity, high-growth environments.
Strong technical foundation in computer systems, statistics, and applied machine learning, with the ability to guide deep technical discussions.
Breadth of knowledge or interest in mathematical modeling beyond ML (e.g., operations research, combinatorial optimization).
Experience delivering ML systems at scale in production, including the infrastructure and organizational processes needed to support them.
Interest/experience in compute systems such as kubernetes and spark.
Track record of driving end-to-end ML projects — from identifying opportunities to delivering measurable business impact.
Strong people leadership skills: hiring, coaching, and developing engineering talent.
Effective cross-functional collaboration skills, with the ability to influence without direct authority.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$222,000—$300,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Sr. Manager, Applied ML For Systems